Evidence map›Paper›PMID 34471635›Full record

ArticleBioMed research international2021

A Potential ceRNA Network for Neurological Damage in Preterm Infants.

Jin Huang, Xuejing Liang, Zhenyu Cai

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. miR-17-5p/Frontiers in neurology · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Jin Huang *Department of Obstetrics and Gynecology, Aviation General Hospital of China Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-3995-6267
Xuejing Liang *Department of Obstetrics and Gynecology, Aviation General Hospital of China Medical University, Beijing, China.
Zhenyu CaiDepartment of Obstetrics and Gynecology, Aviation General Hospital of China Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-0785-1425
Aviation General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study is aimed at identifying key genes involved in neurological damage in preterm infants and at determining their potential circRNA-miRNA-mRNA regulatory mechanisms.

methodsDifferentially expressed miRNAs, mRNAs, and circRNAs were downloaded from the GEO database. GO and KEGG enrichment analyses were used to determine possible relevant functions of differentially expressed mRNAs. The TTRUST database was used to predict differential TF-mRNA regulatory relationships. Then, CircMIR, miRDB, TargetScan and miRTarBase were then used to map circRNA/miRNA-TF/mRNA interaction networks. Finally, GSEA enrichment analysis was performed on the core transcription factors.

resultsA total of 640 mRNAs, 139 circRNAs, and 206 differentially expressed miRNAs associated with neurological injury in preterm infants were obtained. Based on the findings of Cytoscape and PPI network analysis, the hsa_circ_0008439-hsa-mir-3665-STAT3-MMP3 regulatory axis was established. GSEA analysis revealed that suppressed expression levels of STAT3 were associated with upregulated oxidative phosphorylation pathways in the neurological injury group of preterm infants.

conclusionsThe circRNA-miRNA-TF-mRNA regulatory network of neurological injury in preterm infants can be used to elucidate on the pathogenesis of brain injury and help us with the early detection of brain injury in preterm infants.

Indexed as

Infant, PrematureComputational BiologyDatabases, GeneticHumansInfant, NewbornMatrix Metalloproteinase 3MicroRNAsNervous System DiseasesRNA, CircularRNA, MessengerSTAT3 Transcription FactorMatrix Metalloproteinase 3MicroRNAsMMP3 protein, humanRNA, CircularRNA, MessengerSTAT3 protein, humanSTAT3 Transcription Factor

Identifiers

PMID34471635
PMCPMC8405308
OpenAlexW3194676856

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.